SKILLEMALL.ai

BF doc-to-video

将 Markdown 技术文档自动转换成带配音旁白的专业视频。使用 edge-tts 生成自然人声、Remotion 渲染视觉场景、FFmpeg 合并音视频,输出 1920×1080 全高清视频。适用场景:项目文档视频化、教程制作、知识分享。

ClawHub Agent Skills author: 孟斯特 v1.0.4 MIT-0 19 files · 1 script body ≈ 5 200 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/case-study-pattern.md

ProcedureMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
100
Quality 40%
49
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/case-study-pattern.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5200 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/case-study-pattern.md
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "keywords"
  • note frontmatter-key unknown frontmatter key "requirements"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/case-study-pattern.md
  • 0Tools and files. 1 referenced file(s) missing: references/case-study-pattern.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 70Execution cost. Instruction body is 5200 tokens
  • 100Steps. 61 steps
  • 100Consistency. Name and required fields are in place
  • low 14 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -2localhost URLs: will not work for another user
  • -238 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 121: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 61 items
  • +4Has examples (32 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 49.

External checks

ClawHub: suspicious
This looks like a real document-to-video helper, but it needs Review because it includes instructions for copying and modifying installed agent skills across environments plus some unsafe cleanup and overwrite commands.
LLM: suspicious (high) · VirusTotal: · 12 Jun 2026